How the number is actually calculated.

The thirty-two factors behind the number.

Most longevity calculators weight ten or fifteen variables. The life settlement industry's medical underwriters typically work from twenty to twenty-five. LEC weights thirty-two — because the research keeps demonstrating that the variables the industry has historically ignored are often the ones that move the needle most.

The factors fall into five categories. Each is weighted against its predictive contribution to mortality outcomes in the most recent NVSR publication.

Demographic foundation. Age, sex assigned at birth, and race or ethnicity establish the baseline. These are the variables the VBT and SSA tables are built around, and they remain the single largest driver of any life expectancy estimate.

Medical history. Known diagnoses — cardiovascular disease, cancer history, diabetes, chronic kidney disease, respiratory conditions — along with family history of the same. Medical history is where life settlement underwriters spend most of their attention, and LEC weights it accordingly.

Behavioral inputs. Tobacco use, alcohol consumption patterns, recreational drug use, diet composition, sleep quality, exercise frequency and intensity, and body composition. The industry tracks tobacco and BMI; it rarely tracks the rest with any rigor. The CDC's data shows this is a mistake.

Environmental and geographic exposure. This is where LEC departs most significantly from standard practice. ZIP code is a factor — not because geography is destiny, but because the NVSR consistently shows life expectancy gaps of ten to twenty years between neighboring ZIP codes within the same American city. Air quality, access to primary care, local cancer screening rates, and regional mortality trends all correlate strongly enough with outcome data that excluding them produces a visibly less accurate estimate.

Psychosocial and access factors. Marital or partnership status, self-reported stress levels, and access to healthcare round out the model. The World Health Organization has treated these as mortality-relevant for decades. Most domestic calculators still don't.

Not a sum. A calibration.

A common misconception about longevity calculators is that they add up good and bad factors like a scorecard. LEC doesn't work that way.

The baseline estimate is drawn from the VBT and SSA tables — the mortality figures for someone of the user's age, sex, and demographic profile. From there, each of the thirty-two factors acts as a modifier, adjusting the baseline up or down according to its independently measured effect on mortality risk. A heavy smoker's baseline doesn't get a flat reduction; it gets adjusted against what CDC data shows about the mortality curves of smokers in that person's age cohort specifically.

Some factors compound. Others cancel. Several — tobacco use, serious medical history, geographic ZIP-code outliers — exert disproportionate pull. The result isn't a simple average. It's a calibrated estimate that reflects how these variables actually interact in the mortality data, not how a formula wishes they would.

Updated against the latest data — not the latest marketing cycle.

The CDC publishes new NVSR mortality data annually. The SSA updates its life tables on a similar cadence. The VBT is revised less frequently — the current 2015 table remains the industry standard — which means any calculator that relies on VBT alone is working from a mortality picture that is now a decade out of date.

LEC is recalibrated annually against the most recent NVSR and SSA releases, with interim adjustments when significant public-health data emerges. The next recalibration is scheduled for this year, incorporating the most recent NVSR publication and the latest CDC cause-specific mortality data.

The recalibration process is reviewed by Wm. Scott Page, whose thirty-plus years of life expectancy evaluation in the life settlement industry sit behind every version of this calculator's methodology.

An estimate — not a prediction.

No calculator can tell anyone the day they will die. What LEC produces is a statistical estimate built from the best available mortality data, weighted against thirty-two variables known to influence longevity outcomes. It's useful for financial planning, retirement modeling, insurance decisions, and honest self-reflection about the choices that shape the decades ahead.

It is not a medical diagnosis, a prognosis, or a substitute for professional healthcare advice. It is what the data says, rendered personal.